analytics
InfluxDB: Scalable Metrics Storage
Get fast metrics and event tracking with InfluxDB, a scalable datastore for founders, backed by 32k+ GitHub stars.
31,652 stars3,713 forksRustHealth Score 9/10Updated 7/23/2026100% free · open source
What it does
InfluxDB is a scalable datastore that allows founders to quickly track metrics and events, facilitating real-time analytics for their applications
Install / run
docker run -p 8086:8086 influxdb:2.0When to use it
- •You need to monitor and analyze large amounts of time-series data from IoT devices or sensors
- •Your application requires real-time analytics and event tracking to inform business decisions
- •You are building a data-intensive application that needs a scalable and performant datastore
Quick start
- 1Create a new bucket using the command `influx bucket create --name my-bucket`
- 2Write data to the bucket using the `influx write` command, e.g. `influx write --bucket my-bucket --org my-org 'cpu,host=host1 usage=50'`
- 3Query the data using the `influx query` command, e.g. `influx query --bucket my-bucket --org my-org 'from(cpu) |> range(start: -1h)'`
- 4Configure the InfluxDB instance by editing the `influxdb.conf` file, e.g. to set up authentication or adjust retention policies
- 5Use the InfluxDB UI to visualize and explore the data, accessible at `http://localhost:8086`
Ready-to-paste prompt
influx write --bucket my-bucket --org my-org 'mem,host=host1 used=1024' --precision s
Heads up: InfluxDB 2.0 requires authentication by default, so you need to create an authentication token using the `influx auth create` command before you can write data to a bucket
Saves to your device
Topics
database
go
influxdb
metrics
monitoring
react
rust
time-series
How InfluxDB: Scalable Metrics Storage works
Codeflow
Free to inspect
InfluxDB: Scalable Metrics Storage is a very large Rust project (~336k lines across 1016 code files, plus 44 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, Apache-2.0 license, has a test suite.
Size
Very large codebase
~336k lines · 1016 code files · days to read — use, don't read
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Rust · Docker
No API keys detected
Rust 96%Answer Set Programming 2%Python 1%Linear Programming 1%
Where to start reading
- 1README.mdStart here — what it does and how to install it
- 2Cargo.tomlDependencies and the commands it exposes
- 3core/README.mdInside core/ — the main logic begins here
What's in each folder
READMEHas testsDocumentedCI checksDocker readyApache-2.0 licenseUpdated this month
Details
Creator
influxdata
Language
Rust
Category
analytics
Published
9/26/2013
Are you the creator of this tool? Claim your listing → and earn 85% of every sale.
Related skills
More analytics tools founders pair with this one.
analytics★ 113,574
D3
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
analytics★ 110,807
TypeScript: Cleaner JS Code
Get reliable JavaScript output with TypeScript. For founders using JavaScript.
analytics★ 92,972
Fast Design with Open-Design
Get native app design with web, desktop, mobile prototypes. For founders needing local-first design tools.
analytics★ 90,206
Vue Element Admin
:tada: A magical vue admin https://panjiachen.github.io/vue-element-admin
analytics★ 76,463
Grafana: Unified Insights
Get unified metrics and monitoring for your startup with Grafana, a platform used by many, ideal for founders needing data visibility.
analytics★ 74,560
Superset: Data Insights
Get data visualization and exploration with Superset, a platform for founders in data-driven startups, with 74k+ GitHub stars.